Deduplication-while-Training: A Resilient Paradigm for Privacy-Preserving Cross-Client Deduplication in Federated Learning
DwT-FL deduplicates federated LLM training data concurrently, cutting recovery and join overhead by over 93%.
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DwT-FL deduplicates federated LLM training data concurrently, cutting recovery and join overhead by over 93%.
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